O estudo situa-se no contexto atual do Sistema Único em Saúde (SUS) que busca, através da Política Nacional de Educação Permanente (PNEP), transformar e melhorar práticas na atenção à saúde. Valendo-se da Estratégia de Saúde da Família (ESF) para expansão e qualificação da Atenção Primária em Saúde (APS), o cenário atual brasileiro encontra como um dos seus desafios a qualificação em larga escala e de qualidade dos trabalhadores de saúde atuantes na rede. Este estudo se propõe a analisar a evasão em curso de especialização em APS nas modalidades presencial e a distância, oferecido aos profissionais de saúde atuantes na ESF, no intuito de qualificar a atenção em saúde prestada pelo SUS. Trata-se de um estudo de intervenção educacional, realizado no período de Agosto de 2012 a Julho de 2014, no contexto do Curso Multiprofissional de Especialização em Saúde da Família ofertado pela parceria da Universidade Federal de Ciências Médicas de Porto Alegre (UFSCPA) e Universidade Aberta do SUS (UNA-SUS) (modo a distância) e Associação Hospitalar Moinhos de Vento (AHMV) (modo presencial). A alocação dos participantes nas modalidades presencial ou a distância foi randomizada. Os participantes do estudo foram sessenta e quatro profissionais da área da saúde (médicos, enfermeiros ou cirurgiões-dentistas) que atuavam na APS e iniciaram o curso, trinta e oito na modalidade a distancia e vinte e seis na presencial. A evasão neste estudo foi entendida como saída definitiva do aluno do curso, sem conclusão do mesmo. As proporções de evasão encontradas foram de 30,7% para o modo presencial e de 57,8% para o modo à distância. Sugere-se um estudo qualitativo com os alunos evadidos para que sejam compreendidos os motivos que levaram a evasão em ambas modalidades, compreendendo o perfil e a necessidades destes alunos, buscando melhorias/mudanças no enfoque metodológico de ensino-aprendizagem utilizada na estruturação do curso EAD, no sentido de qualificá-lo e diminuir sua alta taxa de evasão, destacando novamente a responsabilidade/efetividade do próprio SUS na formação e qualificação do seu trabalhador, conforme a lei 8080. / This study is part of the present context of the Brazilian National Health System (SUS) that aims through the National Policy of Permanent Education in Health (PNEP) to transform and qualify heath assistance practices. Presently, one of the main challenges of the SUS is to increase access and qualify its primary care following its main strategy, the Family Health Strategy (ESF). The objective of this study is to analyze the students dropouts in an specialization course in Primary Health Care in two modalities, face-to-face and distance learning, offered to health care professionals active in ESF in order to qualify the health care provided by SUS. This is an education intervention study carried out between August 2012 and July 2014 in the context of multiprofessional specialization course in Family Health offered in partnership between the Universidade Federal de Ciências Médicas de Porto Alegre (UFSCPA) and the Universidade Aberta do SUS (UNA-SUS) (distance learning course) and the Associação Hospitalar Moinhos de Vento (AHMV) (face-to-face course). Students were allocated randomly to the face-to-face or distance courses. The study participants were sixty-four health professionals (dentists, physicians and nurses) working in primary care services enrolled in the course, thirty-eight in distance learning and twenty-six face-to-face. Student’s dropouts in this course was characterized as the definite abandonment of the course, without its conclusion. There were 30.7% of professionals that abandoned the face-to-face course and 57.8% that abandoned the distance learning course. We suggest a qualitative study to understand the reasons of students dropout, comprehending the profile and the needs of these students, seeking improvements/changes in the education/learning method used in the structure of distance learning course in order to qualify it and decrease its high dropout rate, emphasizing the responsibility/effectiveness of SUS in the qualifications of its workers, according to the law number 8080.

O estudo situa-se no contexto atual do Sistema Único em Saúde (SUS) que busca, através da Política Nacional de Educação Permanente (PNEP), transformar e melhorar práticas na atenção à saúde. Valendo-se da Estratégia de Saúde da Família (ESF) para expansão e qualificação da Atenção Primária em Saúde (APS), o cenário atual brasileiro encontra como um dos seus desafios a qualificação em larga escala e de qualidade dos trabalhadores de saúde atuantes na rede. Este estudo se propõe a analisar a evasão em curso de especialização em APS nas modalidades presencial e a distância, oferecido aos profissionais de saúde atuantes na ESF, no intuito de qualificar a atenção em saúde prestada pelo SUS. Trata-se de um estudo de intervenção educacional, realizado no período de Agosto de 2012 a Julho de 2014, no contexto do Curso Multiprofissional de Especialização em Saúde da Família ofertado pela parceria da Universidade Federal de Ciências Médicas de Porto Alegre (UFSCPA) e Universidade Aberta do SUS (UNA-SUS) (modo a distância) e Associação Hospitalar Moinhos de Vento (AHMV) (modo presencial). A alocação dos participantes nas modalidades presencial ou a distância foi randomizada. Os participantes do estudo foram sessenta e quatro profissionais da área da saúde (médicos, enfermeiros ou cirurgiões-dentistas) que atuavam na APS e iniciaram o curso, trinta e oito na modalidade a distancia e vinte e seis na presencial. A evasão neste estudo foi entendida como saída definitiva do aluno do curso, sem conclusão do mesmo. As proporções de evasão encontradas foram de 30,7% para o modo presencial e de 57,8% para o modo à distância. Sugere-se um estudo qualitativo com os alunos evadidos para que sejam compreendidos os motivos que levaram a evasão em ambas modalidades, compreendendo o perfil e a necessidades destes alunos, buscando melhorias/mudanças no enfoque metodológico de ensino-aprendizagem utilizada na estruturação do curso EAD, no sentido de qualificá-lo e diminuir sua alta taxa de evasão, destacando novamente a responsabilidade/efetividade do próprio SUS na formação e qualificação do seu trabalhador, conforme a lei 8080. / This study is part of the present context of the Brazilian National Health System (SUS) that aims through the National Policy of Permanent Education in Health (PNEP) to transform and qualify heath assistance practices. Presently, one of the main challenges of the SUS is to increase access and qualify its primary care following its main strategy, the Family Health Strategy (ESF). The objective of this study is to analyze the students dropouts in an specialization course in Primary Health Care in two modalities, face-to-face and distance learning, offered to health care professionals active in ESF in order to qualify the health care provided by SUS. This is an education intervention study carried out between August 2012 and July 2014 in the context of multiprofessional specialization course in Family Health offered in partnership between the Universidade Federal de Ciências Médicas de Porto Alegre (UFSCPA) and the Universidade Aberta do SUS (UNA-SUS) (distance learning course) and the Associação Hospitalar Moinhos de Vento (AHMV) (face-to-face course). Students were allocated randomly to the face-to-face or distance courses. The study participants were sixty-four health professionals (dentists, physicians and nurses) working in primary care services enrolled in the course, thirty-eight in distance learning and twenty-six face-to-face. Student’s dropouts in this course was characterized as the definite abandonment of the course, without its conclusion. There were 30.7% of professionals that abandoned the face-to-face course and 57.8% that abandoned the distance learning course. We suggest a qualitative study to understand the reasons of students dropout, comprehending the profile and the needs of these students, seeking improvements/changes in the education/learning method used in the structure of distance learning course in order to qualify it and decrease its high dropout rate, emphasizing the responsibility/effectiveness of SUS in the qualifications of its workers, according to the law number 8080.

O estudo situa-se no contexto atual do Sistema Único em Saúde (SUS) que busca, através da Política Nacional de Educação Permanente (PNEP), transformar e melhorar práticas na atenção à saúde. Valendo-se da Estratégia de Saúde da Família (ESF) para expansão e qualificação da Atenção Primária em Saúde (APS), o cenário atual brasileiro encontra como um dos seus desafios a qualificação em larga escala e de qualidade dos trabalhadores de saúde atuantes na rede. Este estudo se propõe a analisar a evasão em curso de especialização em APS nas modalidades presencial e a distância, oferecido aos profissionais de saúde atuantes na ESF, no intuito de qualificar a atenção em saúde prestada pelo SUS. Trata-se de um estudo de intervenção educacional, realizado no período de Agosto de 2012 a Julho de 2014, no contexto do Curso Multiprofissional de Especialização em Saúde da Família ofertado pela parceria da Universidade Federal de Ciências Médicas de Porto Alegre (UFSCPA) e Universidade Aberta do SUS (UNA-SUS) (modo a distância) e Associação Hospitalar Moinhos de Vento (AHMV) (modo presencial). A alocação dos participantes nas modalidades presencial ou a distância foi randomizada. Os participantes do estudo foram sessenta e quatro profissionais da área da saúde (médicos, enfermeiros ou cirurgiões-dentistas) que atuavam na APS e iniciaram o curso, trinta e oito na modalidade a distancia e vinte e seis na presencial. A evasão neste estudo foi entendida como saída definitiva do aluno do curso, sem conclusão do mesmo. As proporções de evasão encontradas foram de 30,7% para o modo presencial e de 57,8% para o modo à distância. Sugere-se um estudo qualitativo com os alunos evadidos para que sejam compreendidos os motivos que levaram a evasão em ambas modalidades, compreendendo o perfil e a necessidades destes alunos, buscando melhorias/mudanças no enfoque metodológico de ensino-aprendizagem utilizada na estruturação do curso EAD, no sentido de qualificá-lo e diminuir sua alta taxa de evasão, destacando novamente a responsabilidade/efetividade do próprio SUS na formação e qualificação do seu trabalhador, conforme a lei 8080. / This study is part of the present context of the Brazilian National Health System (SUS) that aims through the National Policy of Permanent Education in Health (PNEP) to transform and qualify heath assistance practices. Presently, one of the main challenges of the SUS is to increase access and qualify its primary care following its main strategy, the Family Health Strategy (ESF). The objective of this study is to analyze the students dropouts in an specialization course in Primary Health Care in two modalities, face-to-face and distance learning, offered to health care professionals active in ESF in order to qualify the health care provided by SUS. This is an education intervention study carried out between August 2012 and July 2014 in the context of multiprofessional specialization course in Family Health offered in partnership between the Universidade Federal de Ciências Médicas de Porto Alegre (UFSCPA) and the Universidade Aberta do SUS (UNA-SUS) (distance learning course) and the Associação Hospitalar Moinhos de Vento (AHMV) (face-to-face course). Students were allocated randomly to the face-to-face or distance courses. The study participants were sixty-four health professionals (dentists, physicians and nurses) working in primary care services enrolled in the course, thirty-eight in distance learning and twenty-six face-to-face. Student’s dropouts in this course was characterized as the definite abandonment of the course, without its conclusion. There were 30.7% of professionals that abandoned the face-to-face course and 57.8% that abandoned the distance learning course. We suggest a qualitative study to understand the reasons of students dropout, comprehending the profile and the needs of these students, seeking improvements/changes in the education/learning method used in the structure of distance learning course in order to qualify it and decrease its high dropout rate, emphasizing the responsibility/effectiveness of SUS in the qualifications of its workers, according to the law number 8080.

South Africa is ranked 146th out of a total of 148 countries by the World Economic Forum for its education system and last in science and mathematics, and yet the government spends up to a fifth of its budget on education. Only 40% of pupils who start schooling in grade 1 will pass matric (grade 12), with just 12% maintaining high enough marks to qualify for university entrance. Any research to boost learning in South Africa, at any level, should be welcomed. The primary goal of higher education institutions is to provide education to post-school students, but the institutions need to be financially viable. Most higher education institutions in South Africa rely heavily on financial support from the government in the form of subsidies (up to 40% of total income in some cases) for funding to remain financially viable. Therefore, government subsidies represent a significant investment into higher education and student retention needs more research in South Africa. Many of the universities in South Africa, especially those that are financially sound, do not take much notice of student dropouts and those that do pay attention, do so firstly at the postgraduate level. The return on investment for master’s and doctoral students is much higher than that for undergraduate students. Understanding the basic elements of the funding framework for South African universities is vital in the understanding of financial losses from student dropouts. The underlying factors that determine the base of funding for higher education have remained the same since the introduction of the Holloway formula in 1953 to the current New Funding Formula (NFF), implemented in 2004. Large amounts of funds are still invested in higher education and there is a national shortage of high quality students in scarce skills, in particular students with a postgraduate qualification. Dropouts result in fewer graduates and large amounts of funding and human capital are wasted on educating students who will never complete their studies. Postgraduate studies have a potential greater loss and a prediction of the expected and unexpected loss for these students may encourage institutions to examine student retention more closely. The latter is an area for concern and needs to be assessed and addressed as soon as possible. / MCom (Risk Management), North-West University, Potchefstroom Campus, 2014

South Africa is ranked 146th out of a total of 148 countries by the World Economic Forum for its education system and last in science and mathematics, and yet the government spends up to a fifth of its budget on education. Only 40% of pupils who start schooling in grade 1 will pass matric (grade 12), with just 12% maintaining high enough marks to qualify for university entrance. Any research to boost learning in South Africa, at any level, should be welcomed. The primary goal of higher education institutions is to provide education to post-school students, but the institutions need to be financially viable. Most higher education institutions in South Africa rely heavily on financial support from the government in the form of subsidies (up to 40% of total income in some cases) for funding to remain financially viable. Therefore, government subsidies represent a significant investment into higher education and student retention needs more research in South Africa. Many of the universities in South Africa, especially those that are financially sound, do not take much notice of student dropouts and those that do pay attention, do so firstly at the postgraduate level. The return on investment for master’s and doctoral students is much higher than that for undergraduate students. Understanding the basic elements of the funding framework for South African universities is vital in the understanding of financial losses from student dropouts. The underlying factors that determine the base of funding for higher education have remained the same since the introduction of the Holloway formula in 1953 to the current New Funding Formula (NFF), implemented in 2004. Large amounts of funds are still invested in higher education and there is a national shortage of high quality students in scarce skills, in particular students with a postgraduate qualification. Dropouts result in fewer graduates and large amounts of funding and human capital are wasted on educating students who will never complete their studies. Postgraduate studies have a potential greater loss and a prediction of the expected and unexpected loss for these students may encourage institutions to examine student retention more closely. The latter is an area for concern and needs to be assessed and addressed as soon as possible. / MCom (Risk Management), North-West University, Potchefstroom Campus, 2014

Thesis (M. Sc. (Statistics)) -- University of Limpopo, 2021 / The ever increasing number of students who drop out of university remains a challenge for Higher Education administrators. In response to this, different studies have been conducted globally in order to identify student retention strategies to fix the problem. However, the challenge continues to prevail year in and year out. Most of the studies conducted in South Africa used statistical methods that ignore the temporal nature of the process of student dropout. This study uses discrete-time survival techniques to model the occurrence and timing of undergraduate engineering student dropout at Tshwane University of Technology (TUT). Discrete-time survival analysis techniques allow for a more appropriate utilisation of the longitudinal nature of institutional data, where the time dependence of the data, time-varying factors and time-invariant factors can all be accommodated in the analysis. The temporal nature of the process of student dropout was analysed for the cohort of students registered in engineering programmes for the first time in 2010 at Tshwane University of Technology using discrete-time survival analysis methods. The cohort was followed for five years from 2010 through 2014, inclusive. Of particular interest was the incidence of dropout, the determinants of dropout, comparison of the single risk discrete-time model with a competing risk discrete-time model, as well as testing for the effects of unobserved heterogeneity. The study used administrative data obtained from the ITS. The logit model was used to estimate the effects of race, gender, Matric performance, performance in Matric Mathematics, residence type, English language status and time on time to dropout with time measured in academic years. A discretetime competing risk model in the form of a multinomial logit model was also estimated to account for the possible correlation between graduation and dropout. A frailty model assuming a Gaussian distribution for the frailty term was also estimated to account for unobserved heterogeneity. The study established that the risk of dropout for nonwhite students is significantly higher than that of white students. Furthermore, it was found that the effects of residence type varied with time. For instance, in the first year students with private based accommodation were more likely to dropout compared to those residing onvi Abstract campus. On the other hand, in the third year students accommodated in private residences were less likely to dropout than those residing on-campus. The findings also indicate that the effect of having English as a first language as opposed to as a second language on the risk of dropout was only significant in the fourth year such that first language English students were more at risk of dropout compared to second language students. The findings also revealed inconsistencies between the estimates from the single risk and the competing risk model. Moreover, the effect of unobserved heterogeneity was found to be insignificant. Recommendations from this study are that discrete-time survival analysis model is more efficient than traditional methods used for analysis of student dropout and should therefore be used for analysis of academic outcomes such as dropout. The model can account for the temporal nature of the process of dropout. Both time-varying and time-invariant explanatory variables can be included in the model.The effects of time-invariant explanatory variables that might have time-varying effects can also be investigated.

Thesis (Ph.D. (Educational Studies)) -- University of Limpopo, 2018 / The primary aim of this study was to investigate the growing rate of dropout phenomenon within the ambiance of higher education and to develop a support model for lower-postgraduate students. Anchored within Maxwell’s (2012) model of qualitative design, this case-study research has employed the deficit theory and the theory of transactional distance to guide the investigation. While the theoretical evidence was garnered through the application of traditional (narrative) literature review design, the empirical evidence was achieved by targeting lecturers, administrative officers and dropout students. These participants were only those who have respectively taught an advanced communication research (COM4809) module which is offered in the department of communication science as part of the honours programme, who have been involved into the administration of the module in the same department and who have dropped out of COM4809 between 2011 and 2016. Purposive selection technique was used to sample distinct units of analysis at various levels. At the first level, the University of South Africa (Unisa) was used as a case ODL university. At the second level, COM4809 was used as an ideal module to demonstrate that dropout is prevalent at an honours postgraduate level within the ODL domain. At the third level, lecturers were also purposively included into the study since they were key informants. With regard to administrative officers, a census approach was adopted to include the only two administrative officers who have been involved in the administration of COM4809 between 2011 and 2016. Dropout students were selected using snowball and purposive sampling techniques. While the purposive selection of dropout students from the given dataset (statistical information) of 219 dropouts, which was requested from the information and communication department (ICT), was used, the snowball selection method came into play when lecturers identified twenty-one dropout students from their personal records and furnishing the researcher with detailed contact information about them. However, the researcher has managed to hold focus-group interviews with a group of six dropout students and telephonic interviews with ten dropout students, summing up to 16 participants. Focus-group interviews were also undertaken with a cohort of eight lecturers while another seven lecturers have participated in the in-depth interviews. Data were analysed through the use of qualitative content analysis method, and O’Connor and Gibson’s (n.d) design viii    to analyse qualitative data was used. To ensure the credibility and dependability of findings, a triangulated approach to data collection and analysis were used. The study unveiled four major themes on dropout factors, namely: dropout factors associated with students’ personal circumstances, with lecturers’ personal circumstances, with institutional (academic) circumstances and with those factors which are determined by circumstances of other units of analysis (other research contexts). The study has further revealed that while the majority of factors can be controlled, others cannot. Based on the findings and the literature, an integrated honours student-centred support model (IHSCM) was developed to serve as a framework within which to understand dropouts of lower-postgraduate students in an ODL institution. Findings have demonstrated the importance of providing support services in an ODL environment and advocate for a holistic approach towards addressing attrition. The proposed model is envisaged to better expound dropout attributes, which lead students to discontinuing their studies in the ODL environment, and to assist ODL institutions to effectively address the concern. ODL institutions, which want to apply the proposed IHSCM, should do that with caution in mind owing to the fact that the model is not yet tested. Hence, it is inferable to suggest that future research should focus on its impact in the reduction of dropouts of honours students in ODL contexts.   Key words: Student dropout (attrition), dropout student, open and distance learning (ODL) institution, Higher education institution, distance education, student support intervention (services, intervention, mitigation strategy) and student support model (framework).

Submitted by Clebson Anjos (clebson.leandro54@gmail.com) on 2016-02-15T18:37:51Z No. of bitstreams: 1 arquivototal.pdf: 2981698 bytes, checksum: 6dfa47590c870db030e7c1cbea499120 (MD5) / Made available in DSpace on 2016-02-15T18:37:51Z (GMT). No. of bitstreams: 1 arquivototal.pdf: 2981698 bytes, checksum: 6dfa47590c870db030e7c1cbea499120 (MD5) Previous issue date: 2015-05-29 / Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - CAPES / Through the use of data mining techniques, more usually the classification algorithms, it is possible to implement predictive models that are able to early identify a student in risk of dropout. Several studies used data obtained from a Virtual Learning Environment (VLE) to implement predictive performance models in a discipline of a course. However, any study was carried out aimed at developing a model for dropout prediction, to distance graduation courses of longer duration, which integrates works that carry out performance prediction based on a VLE, allowing an early prediction during the first semester and throughout the others semesters. Thus, this work proposes a dropout identification approach for distance graduation courses that use the Rule-Based Classification technique to firstly identify the disciplines and grades limits that have higher influence on dropout, so that the predictive models for performance in a VLE can be used regarding the dropout detection of students along the whole distance graduation course. Experiments were carried out using four rulebased classification algorithms: JRip, OneR, PART and Ridor. Considering the use of this temporal approach, it was possible to prove the advantages of this approach, once better accuracies were obtained along the semesters and important rules were discovered to early identify students in risk of dropout. Among the applied algorithms, JRip and PART obtained the best predictive results with average accuracy of 81% at the end of first semester. Furthermore, considering our proposed partition methodology, where attributes of the predictive models are incrementally applied, it was possible to discovery rules potentially useful to dropout prevention. / Com a utilização de técnicas de mineração de dados, mais comumente os algoritmos de Classificação, pode-se construir modelos preditivos capazes de identificar precocemente um estudante com risco de evasão. Diversos estudos utilizaram dados obtidos de um Ambiente Virtual de Aprendizagem (AVA) para a construção de modelos preditivos de desempenho em uma disciplina de um curso. Porém, nenhum estudo foi realizado com o objetivo de desenvolver um modelo de predição de evasão, para um curso de graduação a distância de maior duração, que integre trabalhos que fazem a predição de desempenho a partir de um AVA, possibilitando uma predição da evasão antecipada durante o primeiro semestre e ao longo dos demais semestres. Assim, este trabalho propõe uma abordagem de identificação de evasão em um curso de graduação a distância a partir da utilização da técnica de classificação baseada em regras para, primeiramente, identificar as disciplinas e os limites de notas que mais influenciam na evasão para que os modelos preditivos de desempenhos em um AVA possam ser utilizados para a predição da evasão de um aluno com risco de evasão ao longo de todo o curso de graduação a distância. Foram realizados experimentos com quatro algoritmos de classificação baseados em regras: o JRip, o OneR, o PART e o Ridor. A partir da utilização da abordagem temporal proposta foi possível comprovar sua vantagem, uma vez que foram obtidos melhores desempenhos preditivos ao longo dos semestres e foram descobertas importantes regras para a identificação precoce de um estudante com risco de evasão. Entre os algoritmos estudados, JRip e PART obtiveram os melhores desempenhos preditivos com acurácia média de 81% ao final do primeiro semestre. A partir da metodologia proposta de partições, na qual os atributos dos modelos preditivos são aplicados de forma incremental, foi possível a descoberta de regras potencialmente úteis para prevenir a evasão.

nÃo hà / O presente estudo discute a problemÃtica da evasÃo discente em InstituiÃÃes Privadas de Ensino Superior, focalizando o contexto no turno noturno. Partiu-se do seguinte problema: Que fatores mais representam a evasÃo dos alunos de turno noturno em uma IES Privada em Fortaleza? O objetivo geral desta pesquisa foi analisar os fatores de evasÃo discente sob o ponto de vista de docentes e discentes, do turno noturno de uma unidade especÃfica de uma IES Privada de Fortaleza, no perÃodo de 2013.2 a 2014.1. Especificamente, intencionou-se: i) analisar o perfil do discente do turno noturno de uma unidade especÃfica da IES investigada; ii) identificar os insumos que compÃe o quadro de evasÃo da IES privada investigada, a partir da anÃlise dos alunos e professores do turno noturno; e iii) investigar as aÃÃes para a permanÃncia dos alunos desenvolvidas por esta IES Privada X. O contexto do Ensino Superior privado tem demasiadas particularidades que o colocam em constante discussÃo teÃrica, principalmente no tocante ao turno noturno, que à atingido por vÃrios fatores biopsicossociais que interferem na busca por formaÃÃo pelo discente, gerando um cenÃrio propÃcio à evasÃo. Desta forma, procedeu-se uma investigaÃÃo de natureza qualiquantitativa, com uma amostra de 103 sujeitos, destes 17 docentes e 27 discentes evadidos e 59 discentes regulares do turno noturno, em uma unidade especÃfica de uma IES, no perÃodo de 2013.2 a 2014.1, no contexto de ensino superior privado na cidade de Fortaleza-CearÃ-Brasil. Foram utilizadas para a anÃlise dos dados quantitativos a tÃcnica de anÃlise fatorial, atravÃs do software SPSS.19.0 e, qualitativamente, a anÃlise de conteÃdo com o software Atlas.ti.7, sob base teÃrica fenomenolÃgica e da hermenÃutica. A Escala de Likert aplicada apresentou-se confiÃvel e significante com Ãndices de validaÃÃo de quase 87% (Alfa de Cronbach=0,869) e KMO de 0,761 para adequaÃÃo da amostra. Foram extraÃdos seis fatores do estudo, dentre eles dois para motivos pessoais e quatro para motivos institucionais, demonstrando esse peso maior ao Ãltimo na escolha pela evasÃo discente. Os resultados demonstram que os motivos institucionais â como os fatores externos e de avaliaÃÃo, deficiÃncia na oferta de serviÃos, fatores didÃtico-pedagÃgicos e administrativos, alÃm da deficiÃncia na oferta de acessibilidade virtual/tecnolÃgica â estÃo acima dos pessoais, que se apresentaram como motivos ligados ao sujeito e a terceiros. Inferiu-se, diante do todo apresentado, que a IES Privada investigada desenvolve esforÃos para diminuiÃÃo de seus Ãndices de evasÃo discente, pois jà desenvolve algumas polÃticas internas especÃficas nesse sentido, no entanto, ainda veem-se algumas lacunas de cunho administrativo que precisam ser extintas para mudanÃa deste cenÃrio.